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Engineering

Full-time

Senior Machine Learning Engineer, Trust & Safety

New York, New York

hybrid

Hinge is the dating app designed to be deleted

In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.

About the Role


 
Join Hinge as a Senior Machine Learning Engineer, where you'll lead the application of AI and machine learning to effectively mitigate the impact of bad actors, remove policy violating content, and ensure user safety on the platform. Working closely with an expanding Trust & Safety team, you will collaborate with product managers, data scientists, engineers, and analysts to develop impactful AI/ML solutions. In this high-impact position within a small, dynamic team, you'll have the opportunity to play a foundational role in shaping how Hinge utilizes AI and machine learning in various contexts. Your expertise will be instrumental in creating a safer and more meaningful user experience on their journey to find an intimate connection.

Responsibilities

  • Develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety.
  • Design and implement scalable systems (e.g., using Spark, Kubernetes) to preprocess data, run inference, and manage post-processing pipelines.
  • Define standardized performance metrics, testing protocols, and evaluation processes to measure the effectiveness, identify and mitigate potential risks, and ensure fairness of AI solutions.
  • Ensure ongoing assessment and refinement of AI solutions, incorporating user feedback, business impact, and emerging ethical considerations.
  • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to user safety.
  • Stay abreast of new trends and research in AI/ML that can be applied to Trust & Safety initiatives to improve detection, user safety, and stay ahead of potential threats.

What We're Looking For

  • Strong programming skills: Proficiency in languages like Python, Java or C++ and SQL, proficiency in at least one ML stack (e.g., PyTorch), and strong understanding of data pipelines
  • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies.  Proven track record of building, debugging, and fine-tuning real-time machine learning models for user facing products. Experience with applying expertise to fraud detection, content moderation, or related fields is a plus .
  • System design & architecture: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference.
  • Evaluation frameworks for LLMs: Experience designing robust testing protocols to ensure effectiveness, fairness, and safety of AI-driven features. 
  • Cloud and data platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with solutions like Databricks, Ray, or KubeFlow is a plus.
  • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow.
  • Strategic technical leadership skills: Demonstrated track record of guiding teams through complex ML projects in alignment with product and business objectives.
  • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.
  • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation.
  •  
    Prior Experience
  • 4+ years of experience, depending on education, as an MLE or data scientist. Previous experience working in Trust & Safety or related fields (e.g., fraud detection, content moderation, compliance) is preferred.
  • 2+ years of experience in applying end-to-end machine learning models, including data collection, model training, deployment, and monitoring in an industry setting
  • 1+ years of experience integrating LLMs in real-world applications with the appropriate baseline metrics and evaluation methodologies.
  • 1+ years of experience utilizing ML infrastructure components such as a feature store, model training environment, model serving environment, observability, workflow orchestrator, etc.
  • A degree in computer science, engineering, or a related field (or equivalent practical experience).

Salary Range

$186,000.00 - $245,000.00 per year salary

Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

Diversity inspires innovation.

Hinge is an equal opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.

The Hinge value I resonate most with is...

Empathy. When your personal values and your company's values align-- you know it's the right place to work.

A photo of Jared Moskowitz, iOS Engineer at Hinge

Jared Moskowitz

iOS Engineer

Perks & Benefits

Do your best work, live your best life

We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.

Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6,000 courses, starting your first day.

When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents).

You and your spouse/domestic partner will get easy access to fertility care through Carrot, which offers convenient access to a range of fertility care options. We offer up to $15,000 to assist with covering fertility expenses, including basic treatments and fertility preservation.

Hinge employees receive a $100 monthly stipend for epic dates – romantic or otherwise. HingeX is also free for employees and their loved ones.

We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.

Employees at Hinge headquarters singing karaoke

Hiring Process

We pride ourselves on our people. Here’s how we find the best.

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A call to get to know each other.

Transparency, candor and humility allow us to focus on delivering outstanding results without getting distracted by ego, gossip or politics.

The skills interview.

Breakthroughs require our willingness to take risks. We strive toward audacious goals, expecting and persevering through setbacks and failures along the way.

The narrative interview.

We remember we’re all human beings first. We keep in mind who we’re serving. We listen humbly and openly. We speak and act with kindness and care. We practice radical inclusion.

The culture interview.

We remember we’re all human beings first. We keep in mind who we’re serving. We listen humbly and openly. We speak and act with kindness and care. We practice radical inclusion.

Making an offer.

We remember we’re all human beings first. We keep in mind who we’re serving. We listen humbly and openly. We speak and act with kindness and care. We practice radical inclusion.

Full-Time & Hybrid Employees

What you’ll love about our New York office.

We believe in the power of in-person connection. For full-time and hybrid employees, Hinge HQ is a place to collaborate and get to know each other.

Catered Lunches

Commuter Benefits

All-Gender Restrooms

Nursing & Wellness Rooms

People playing bocce ball on the terrace.
Rendering of private team enclaves with customized layouts and furniture, including individual desks as well as a  table for team meetings.
A drag queen performing in front of employees at the Drag Queen Karaoke event at the Hinge office.
Private terrace at the Hinge office.
Hinge office seating filled with a ton of plushies of Hingie, Hinge's mascot, as if they're all in a meeting.
Get outside and play bocce ball on the terrace in your down time.
Slide 1 of 5: Get outside and play bocce ball on the terrace in your down time.

Join our Team

Do you think we’d click?

If you’re passionate about inspiring intimate connections, join us.

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Frequently Asked Questions

You’ve got questions, we’ve got answers

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In early 2019, Hinge became part of Match Group. Since then, Hinge’s executive team has continued to set our mission, vision, and the working norms that guide how we show up every day. While some corporate functions are supported at the Match Group level, working at Hinge is unique experience — shaped by our people, our values, and our product.

TL;DR: We get the best of both worlds! Hinge still operates like a small, mission-driven company, and we have the stability and resources of a company that’s stood the test of time.

Of course! Having used Hinge or any other dating app is definitely not a requirement. That being said, we are looking for team members who genuinely believe our product can and will help people all over the world connect. Our team is passionate about the dating industry and we hope you’ll be passionate about it too!

Hybrid roles at Hinge are based in NYC and require three days per week in our beautiful Meatpacking District office. We believe there’s real value in in-person collaboration and have designed our hybrid model to balance focused work with meaningful time together.

Our office is a space people genuinely enjoy spending time in — beautiful working areas, lots of plants, plenty of food and snacks, and yes, dog friendly.

Relationships are at the core of everything we do.

And not just the romantic kind. We can’t accomplish really hard things alone—so we make great relationships the foundation of our teamwork.

We believe our three core values. Authenticity, Courage, and Empathy are what it takes to build those great relationships.

We are growing each week, but last time we checked, more than 320 talented and beautiful souls are a part of the Hinge team across all of our departments.

Paying our people fairly and equitably is really important to us! We offer packages with three types of compensation depending on role type and level. Most compensation packages at Hinge consist of base salary, annual bonus target percentage and equity in the form of MTCH stock.

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